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Constrained search for a partial principal balance on grouped parts

Source: R/tabu_search.R
partial_pb_constrained.Rd

Builds a single grouped constrained principal balance from the first principal component of the grouped composition.

Usage

partial_pb_constrained(X, lI = NULL, constrained.criterion = "variance")

Arguments

X

A numeric matrix with strictly positive finite entries. Rows are observations and columns are compositional parts.

lI

A list defining a partition of a subset of the columns of X. If NULL, each column of X is used as a singleton group.

constrained.criterion

Criterion used to choose the constrained balance. Either "variance" (default) or "angle".

Value

A list with the following elements:

dim

Dimension of the grouped problem, equal to length(lI) - 1.

lI

The input grouping structure.

variance

Variance criterion of the selected grouped balance.

balance_raw

Integer vector in \(\{-1,0,1\}\) describing the selected grouped split.

balance

The corresponding one-column balance basis.

constrained.criterion

Criterion used to construct the balance.